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Les logs, traces et indicateurs au service d'une observabilité unifiée

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Elasticsearch
Elasticsearch

Découvrez comment Elasticsearch centralise le stockage des données et comment exploiter Kibana pour les analyser. Sans oublier l'accélération de l'identification, du diagnostic et de la résolution des problèmes.

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Cyrille Le Clerc Director of Product Management, Observability June 2020 Combining Logs, Metrics, and Traces for Unified Observability
Higher resource utilization increases monitoring complexity • Orchestration/Hypervisor • Dynamic/ephemeral jobs • You can no longer "point" to where that job lives Shift to cloud-native yields maintainable code, with costs • Traditional licensing models don't scale as well as your applications • Hurdles with autoscaling Monitoring Complexity Hardware & software trends are evolving in tandem Evolving Architectures ~↑ Monitoring Complexity
Development Team Ops: Log Monitoring Uptime Response Time Uptime Tool Ops: Infra Monitoring Web Logs App Logs Database Logs Container Logs Log Tool Ops: Service Monitoring Real User Monitoring Txn Perf Monitoring Distributed Tracing APM Tool Container Metrics Host Metrics Database Metics Network Metrics Storage Metrics Metrics Tool Status Quo: Siloed Collection of Tools
APM Data Uptime DataMetrics DataLog Data Elastic Approach to Observability Uptime Response Time Correctness Certificate Validation Web Logs App Logs Database Logs Container Logs Real User Monitoring Txn Perf Monitoring Distributed Tracing Dependency Mapping Host/Container Metrics Database Metics Network Metrics Storage Metrics Dev & Ops Teams Elastic Common Schema
Unified User Interface Same UI for KPI dashboards and root-cause analysis
• Ship data from anywhere -- and correlate across your data sources • The data is yours -- no API rate limiting, no data black boxes • Cloud native scale -- no constraints on dimensions and cardinalities Unified Data Layer with Common Schema Open data keeps your data out of silos
Correlate multiple data sources for more intelligent anomaly detection Unified Machine Learning and Alerting
Pricing aligned with business value Unified Licensing Model PER AGENT $$$$ PER HOST $$$$ PER INGEST $$$$ PER MONITOR $$$$ PER ADD-ON $$$$ • Intuitive Single, unified pricing model. No add-ons. • Cloud native No problem using with container workloads and serverless. • Future proof You pay for capacity and are not locked into a specific use case.
Elastic Stack for logs
Adopt an Open Approach to Centralized Logging Turnkey data ingestion, intuitive search UI
Make Logs Actionable with Machine Learning
Meet Audit Requirements with Log Lifecycle Management You’re in control of how your data is tiered Hot. Warm. Cold. Frozen. Index Lifecycle Management Policy based data management that optimize your cluster behind the scene Cold storage with online search Specialized indices for efficient long-term storage Log archival and rehydratation Robust snapshot management via API and UI
Elastic Stack for metrics
Evolution of Elastic Stack to a Metrics Store BKD trees Data structures optimized for numerical time series analysis. Columnar storage Structured data storage, resulting in compact storage and faster analytics Rollups Aggregate older data into bigger time buckets Aggregations framework Analytics features to slice and dice data along various dimensions 2012 2016 2014 2018 2019 2020 Prometheus support Support for ingesting data from Prometheus exporters and server Improved support for histograms Dedicated histogram data type in Elasticsearch
Turnkey Data Onboarding 100s of data sources at your fingertips Now 100+ integrations and growing! Recently added AWS LAmbda AWS Virtual Private Cloud Amazon Aurora DB Azure Database Metrics Azure Container Metrics Google Cloud Platform Pub/Sub Istio ...
Turn Metrics into Intelligence Flexible time-series analytics and data visualization
Elastic as an Infrastructure Metrics Solution
Elastic Stack for APM
21 Elastic APM Elastic joins forces with Opbeat A next-generation APM solution designed for developers 2017 2018 Distributed tracing Distributed tracing with W3C Trace Context standard 2020 2019 Elastic APM GA Native Elastic integration, Agents for Python, Node.js, Ruby, Javascript; Real User Monitoring ● Java ● Go ● .NET ● Node.js ● Javascript ● RUM Language Support ● Python ● Ruby ● Go ● PHP (in dev) • Turnkey agents • Auto-instrument for common frameworks • OpenTracing & OpenTelemetry to avoid lock-in
22 Evolution of Elastic Stack to Open Source APM Elastic joins forces with Opbeat A next-generation APM solution designed for developers 2017 2018 Distributed tracing Distributed tracing with W3C Trace Context standard 2020 2019 Service Maps, annotations Full featured UI to navigate APM data Elastic APM GA Native Elastic integration, Agents for Python, Node.js, Ruby, Javascript; Real User Monitoring
Distributed Tracing End-to-end transaction tracking
Reduce MTTR with a Unified UI Navigate traces, metrics, and logs in one UI for faster issue resolution
25 Elastic Stack for uptime
Heartbeat: Uptime Monitoring alerts
28 Demo
Demo Demo app: Google’s microservices demo “Online Boutique”
Demo App Architecture Microservices Architecture
Observe Dashboard
Observe Anomaly Detection with Machine Learning
Detect Alerts
Investigate Distributed Traces
Investigate Distributed Traces
Investigate Single Pane of Glass Events on the system
Investigate Single Pane of Glass Contextual Links ● Trace logs ● Host logs & Metrics ● Custom links ○ Other monitoring tools ○ Support / dev tools
Investigate Single Pane of Glass
Investigate Single Pane of Glass
Investigate Single Pane of Glass
Investigate Single Pane of Glass
Investigate Hich Cardinalities for Better Search
Investigate Hich Cardinalities for Better Search
44 Demo
Demo Key Takeaways • Unified Observability ○ Single tool ○ Investigate deep in any dimension ○ All data types: logs, metrics, APM, and synthetics ○ All layers: application and infrastructure ○ High cardinalities for powerful search
46 Demo
What now? Try it yourself!
While you observe, why not protect? Elastic SIEM & Endpoint
Questions?

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Les logs, traces et indicateurs au service d'une observabilité unifiée

  • 1. Cyrille Le Clerc Director of Product Management, Observability June 2020 Combining Logs, Metrics, and Traces for Unified Observability
  • 2.
  • 3. Higher resource utilization increases monitoring complexity • Orchestration/Hypervisor • Dynamic/ephemeral jobs • You can no longer "point" to where that job lives Shift to cloud-native yields maintainable code, with costs • Traditional licensing models don't scale as well as your applications • Hurdles with autoscaling Monitoring Complexity Hardware & software trends are evolving in tandem Evolving Architectures ~↑ Monitoring Complexity
  • 4.
  • 5. Development Team Ops: Log Monitoring Uptime Response Time Uptime Tool Ops: Infra Monitoring Web Logs App Logs Database Logs Container Logs Log Tool Ops: Service Monitoring Real User Monitoring Txn Perf Monitoring Distributed Tracing APM Tool Container Metrics Host Metrics Database Metics Network Metrics Storage Metrics Metrics Tool Status Quo: Siloed Collection of Tools
  • 6. APM Data Uptime DataMetrics DataLog Data Elastic Approach to Observability Uptime Response Time Correctness Certificate Validation Web Logs App Logs Database Logs Container Logs Real User Monitoring Txn Perf Monitoring Distributed Tracing Dependency Mapping Host/Container Metrics Database Metics Network Metrics Storage Metrics Dev & Ops Teams Elastic Common Schema
  • 7. Unified User Interface Same UI for KPI dashboards and root-cause analysis
  • 8. • Ship data from anywhere -- and correlate across your data sources • The data is yours -- no API rate limiting, no data black boxes • Cloud native scale -- no constraints on dimensions and cardinalities Unified Data Layer with Common Schema Open data keeps your data out of silos
  • 9. Correlate multiple data sources for more intelligent anomaly detection Unified Machine Learning and Alerting
  • 10. Pricing aligned with business value Unified Licensing Model PER AGENT $$$$ PER HOST $$$$ PER INGEST $$$$ PER MONITOR $$$$ PER ADD-ON $$$$ • Intuitive Single, unified pricing model. No add-ons. • Cloud native No problem using with container workloads and serverless. • Future proof You pay for capacity and are not locked into a specific use case.
  • 12. Adopt an Open Approach to Centralized Logging Turnkey data ingestion, intuitive search UI
  • 13. Make Logs Actionable with Machine Learning
  • 14. Meet Audit Requirements with Log Lifecycle Management You’re in control of how your data is tiered Hot. Warm. Cold. Frozen. Index Lifecycle Management Policy based data management that optimize your cluster behind the scene Cold storage with online search Specialized indices for efficient long-term storage Log archival and rehydratation Robust snapshot management via API and UI
  • 15. Elastic Stack for metrics
  • 16. Evolution of Elastic Stack to a Metrics Store BKD trees Data structures optimized for numerical time series analysis. Columnar storage Structured data storage, resulting in compact storage and faster analytics Rollups Aggregate older data into bigger time buckets Aggregations framework Analytics features to slice and dice data along various dimensions 2012 2016 2014 2018 2019 2020 Prometheus support Support for ingesting data from Prometheus exporters and server Improved support for histograms Dedicated histogram data type in Elasticsearch
  • 17. Turnkey Data Onboarding 100s of data sources at your fingertips Now 100+ integrations and growing! Recently added AWS LAmbda AWS Virtual Private Cloud Amazon Aurora DB Azure Database Metrics Azure Container Metrics Google Cloud Platform Pub/Sub Istio ...
  • 18. Turn Metrics into Intelligence Flexible time-series analytics and data visualization
  • 19. Elastic as an Infrastructure Metrics Solution
  • 21. 21 Elastic APM Elastic joins forces with Opbeat A next-generation APM solution designed for developers 2017 2018 Distributed tracing Distributed tracing with W3C Trace Context standard 2020 2019 Elastic APM GA Native Elastic integration, Agents for Python, Node.js, Ruby, Javascript; Real User Monitoring ● Java ● Go ● .NET ● Node.js ● Javascript ● RUM Language Support ● Python ● Ruby ● Go ● PHP (in dev) • Turnkey agents • Auto-instrument for common frameworks • OpenTracing & OpenTelemetry to avoid lock-in
  • 22. 22 Evolution of Elastic Stack to Open Source APM Elastic joins forces with Opbeat A next-generation APM solution designed for developers 2017 2018 Distributed tracing Distributed tracing with W3C Trace Context standard 2020 2019 Service Maps, annotations Full featured UI to navigate APM data Elastic APM GA Native Elastic integration, Agents for Python, Node.js, Ruby, Javascript; Real User Monitoring
  • 24. Reduce MTTR with a Unified UI Navigate traces, metrics, and logs in one UI for faster issue resolution
  • 27.
  • 29. Demo Demo app: Google’s microservices demo “Online Boutique”
  • 32. Observe Anomaly Detection with Machine Learning
  • 36. Investigate Single Pane of Glass Events on the system
  • 37. Investigate Single Pane of Glass Contextual Links ● Trace logs ● Host logs & Metrics ● Custom links ○ Other monitoring tools ○ Support / dev tools
  • 45. Demo Key Takeaways • Unified Observability ○ Single tool ○ Investigate deep in any dimension ○ All data types: logs, metrics, APM, and synthetics ○ All layers: application and infrastructure ○ High cardinalities for powerful search
  • 47. What now? Try it yourself!
  • 48. While you observe, why not protect? Elastic SIEM & Endpoint